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GLM-4.6 vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
GLM-4.6 leads with 3.4% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 190.5K more tokens in context window than GLM-4.6. GLM-4.6 is $0.70 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.6 was introduced as an enhanced iteration of the GLM-4 series, designed to provide improved capabilities in bilingual language understanding and generation. Built to incorporate refinements to the GLM architecture, it represents continued advancement in Zhipu AI's model development.
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Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
2 months newer
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
GLM-4.6
Zhipu AI
2025-09-30
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.6
Input:$0.60
Output:$2.00($0.70 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GLM-4.6
Average Score:85.9%(+3.4%)
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Qwen3-235B-A22B-Thinking-2507
Average Score:82.5%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen3-235B-A22B-Thinking-2507
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GLM-4.6
Avg Score:85.9%(+3.4%)
Providers:2
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Qwen3-235B-A22B-Thinking-2507
Avg Score:82.5%
Providers:1